Author

Jiarong Liang

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Preprint Oct 2026

StopLoss: Teaching Agents to Predict Failure and Stop Early

Coding agents keep working on runs that will fail verification, and asking a frontier model to watch for this is expensive in its own right. We introduce StopLoss, a small external monitor that learns failure recognition from completed trajectories and their verifier outcomes. The name is inspired by the stop-loss orde...

Jia-Rong Liang, Xue-Guang Ma, Dongfu Jiang et al. · 0 citations

Jul 2026

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models

Beyond in-domain gains, mid-training mitigates the capability erosion that agentic post-training otherwise inflicts on non-agent coding and non-coding tool-use benchmarks (tau-bench, BFCL): although the mid-training corpus contains Python code only, the function-call inductive bias survives post-training and yields con...

Yubo Wang, Jiarong Liang, Yuxuan Zhang et al. · arXiv.org · 1 citation